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著者をフォローする

Jim R. Wilson
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Eric Redmond
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Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement ペーパーバック – 2012/5/29

英語版 Eric Redmond (著), Jim Wilson (著)
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Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement
Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement
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Data is getting bigger and more complex by the day, and so are the choices in handling that data. As a modern application developer you need to understand the emerging field of data management, both RDBMS and NoSQL. Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source databases today. In the tradition of Bruce A. Tate's Seven Languages in Seven Weeks, this book goes beyond your basic tutorial to explore the essential concepts at the core each technology.

Redis, Neo4J, CouchDB, MongoDB, HBase, Riak and Postgres. With each database, you'll tackle a real-world data problem that highlights the concepts and features that make it shine. You'll explore the five data models employed by these databases-relational, key/value, columnar, document and graph-and which kinds of problems are best suited to each.

You'll learn how MongoDB and CouchDB are strikingly different, and discover the Dynamo heritage at the heart of Riak. Make your applications faster with Redis and more connected with Neo4J. Use MapReduce to solve Big Data problems. Build clusters of servers using scalable services like Amazon's Elastic Compute Cloud (EC2).

Discover the CAP theorem and its implications for your distributed data. Understand the tradeoffs between consistency and availability, and when you can use them to your advantage. Use multiple databases in concert to create a platform that's more than the sum of its parts, or find one that meets all your needs at once.

Seven Databases in Seven Weeks will take you on a deep dive into each of the databases, their strengths and weaknesses, and how to choose the ones that fit your needs.

What You Need:

To get the most of of this book you'll have to follow along, and that means you'll need a *nix shell (Mac OSX or Linux preferred, Windows users will need Cygwin), and Java 6 (or greater) and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.

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  1. 本の長さ
    354ページ
  2. 言語
    英語
  3. 出版社
    Pragmatic Bookshelf
  4. 発売日
    2012/5/29
  5. 寸法
    19.05 x 2.29 x 23.5 cm
  6. ISBN-10
    1934356921
  7. ISBN-13
    978-1934356920
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著者について

Eric Redmond has been in the software industry for more than 15 years, working with Fortune 500 companies, governments, and many startups. He is a coder, illustrator, international speaker, and active organizer of several technology groups.

Jim R. Wilson started hacking at the age of 13 and never looked back. He has worked as an engineer and web guru at companies in the healthcare, search and marketing sectors. He began tinkering with Non-SQL databases in 2007, and has contributed code to large-scale open source projects like MediaWiki and HBase. A frequent speaker at local JavaScript and NoSQL events, he lives in Littleton, MA with his incredible wife Ruth, and two amazing children.

登録情報

  • 出版社 ‏ : ‎ Pragmatic Bookshelf; 第1版 (2012/5/29)
  • 発売日 ‏ : ‎ 2012/5/29
  • 言語 ‏ : ‎ 英語
  • ペーパーバック ‏ : ‎ 354ページ
  • ISBN-10 ‏ : ‎ 1934356921
  • ISBN-13 ‏ : ‎ 978-1934356920
  • 寸法 ‏ : ‎ 19.05 x 2.29 x 23.5 cm

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  • William P Ross
    5つ星のうち5.0 Database guidebook offers clearly detailed explanations
    2016年4月11日にアメリカ合衆国でレビュー済み
    Amazonで購入
    This is the third seven in seven series I read, and I found this one to be the best so far. It is a guidebook of different databases and how they differ. I felt the selection was excellent as each database covered has different features that made it unique.

    The authors know the correct resources to link to and the proper way to explain the databases. For example, they show you where you can find the original Google paper about MapReduce, and the original Amazon paper about DynamoDB. I found these small details and side notes to be very useful.

    Starting with the introduction, I found the explainations to be clear and detailed. The chapters and days they are divided into was the right length. Properties of databases such as ACID and CAP theorem were covered in depth. MapReduce was explained in terms a few different database architectures.

    The authors did a lot of research and know the material well. Additionally, it has been four years since the release of this book and you can see that their choice of database was excellent, as Mongo, Redis, and PostgreSQL are still heavily used.
    レポート
  • Dr. Rupert Rebentisch
    5つ星のうち5.0 Excellent
    2015年7月2日にドイツでレビュー済み
    Amazonで購入
    Right balance between detail and overview. Excellent examples, fun to read. Even if you don't work through all home work you will develop a good understanding for the various types of databases.
    レポート
  • Alaa
    5つ星のうち5.0 Direct and easy
    2013年6月9日にカナダでレビュー済み
    Amazonで購入
    This book helps me in my research as I want to work on several nosql database. It has direct tips for configuration and other basic information. I recommend this book for any one who wants to learn a nosql database. The only disadvantage for me is not mentioning the CAP theorem for each kind
    レポート
  • C. Giovanni
    5つ星のうち5.0 Bellissimo libro introduttivo ai database alternativi
    2012年12月30日にイタリアでレビュー済み
    Amazonで購入
    Ottimo libto, lo consiglio a chi deve aggiornarsi nell'utilizzo di database opensource alternativi ai classici database SQL. Sono descritti gli aspetti peculiari di sette database. L'unico database SQL nel testo e' PostgreSQL che viene utilizzato come pietra di paragone per gli altri sei.
    レポート
  • Lugus Luna
    5つ星のうち5.0 Very useful book
    2012年12月26日に英国でレビュー済み
    Amazonで購入
    Though the selection of specific products is somewhat arbitrary, given the proliferation of so-called "No-SQL" databases, this is hard to avoid. The author has done a good job of picking products that represent different types of data storage technology, and also of explaining what "No-SQL" is evolving to really mean. If you are responsible for a system that has to store data, and are reviewing your architecture, this book is a good starting point.
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